Vulnerability-Lookup

VAR-201909-1085

Vulnerability from variot - Updated: 2025-04-03 22:32

A malicious file upload vulnerability was discovered in Xiaomi Millet mobile phones 1-6.3.9.3. A particular condition involving a man-in-the-middle attack may lead to partial data leakage or malicious file writing. Xiaomi mobile phone is a smartphone produced by Xiaomi Information Technology Co., Ltd. An attacker can exploit this vulnerability to write files or read privileged data. There are code issue vulnerabilities in several Xiaomi phones

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CVE-2019-15843 (GCVE-0-2019-15843)

Vulnerability from cvelistv5 – Published: 2019-09-18 14:29 – Updated: 2024-08-05 00:56

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2319 records in the last 180 days details

References

1 reference

URL	Tags
https://sec.xiaomi.com/post/152	x_refsource_CONFIRM

Show details on NVD website

JSON

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

Order JSON

Publication & reservation Sightings KEV catalogs Other timestamps

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

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